2016
DOI: 10.17485/ijst/2016/v9i20/78483
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Finding Hubs and Outliers in Temporal Networks

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Cited by 3 publications
(1 citation statement)
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“…For community detection, clustering algorithms and statistical methods are highlighted. [32]; [33]; [34] (DLACD) Distributed learning automata based [35] (CL) Clustering [33]; [36]; [37] (WTS) Weak Tie Score [38] (BCL) BIGClam Overlaping Community detection [39] (CNN) Clauset-Newman-Moore [40] (WIC) Within and Inter Community [41] (CM) Centrality Measures [42]; [43]; [44]; [45]; [46] (RW) Random Walk [47] (DI) Difussion (MLR) Multivariate Linear Regression [48] (CM) Centrality Measures [49]; [50]; [51]; [52]; [53]; [54]; [55] (SM) Statistical Methods [56]; [57]; [58]; [59]; [60]; [61]; [31]; [62] (BoW) Bag of Words [34] (SVM) Support Vector Machine [43] In summary, the results of this search allow us to conclude that research on the phenomena occurring in the context of digital social networks has been marked by the implementation of methods and techniques that allow taking advantage of the potential of the content available on the web, the increase in online interactions and technological evolution. In exponential growth, the collective behavior underlying social networks is undoubtedly a source of knowledge that requires further research.…”
Section: Background a Social Network Analysismentioning
confidence: 99%
“…For community detection, clustering algorithms and statistical methods are highlighted. [32]; [33]; [34] (DLACD) Distributed learning automata based [35] (CL) Clustering [33]; [36]; [37] (WTS) Weak Tie Score [38] (BCL) BIGClam Overlaping Community detection [39] (CNN) Clauset-Newman-Moore [40] (WIC) Within and Inter Community [41] (CM) Centrality Measures [42]; [43]; [44]; [45]; [46] (RW) Random Walk [47] (DI) Difussion (MLR) Multivariate Linear Regression [48] (CM) Centrality Measures [49]; [50]; [51]; [52]; [53]; [54]; [55] (SM) Statistical Methods [56]; [57]; [58]; [59]; [60]; [61]; [31]; [62] (BoW) Bag of Words [34] (SVM) Support Vector Machine [43] In summary, the results of this search allow us to conclude that research on the phenomena occurring in the context of digital social networks has been marked by the implementation of methods and techniques that allow taking advantage of the potential of the content available on the web, the increase in online interactions and technological evolution. In exponential growth, the collective behavior underlying social networks is undoubtedly a source of knowledge that requires further research.…”
Section: Background a Social Network Analysismentioning
confidence: 99%